ENGLISH

Software for data analysis: programming with R

By John Chambers (auth.)

Book information

Publisher
Springer-Verlag New York
Year
2008
ISBN
0387759352, 9780387759357
DOI
10.1007/978-0-387-75936-4
LCC
2008922937
Google Books ID
UXneuOIvhEAC
Open Library ID
OL23202233M
Language
english
Format
PDF
Filesize
8 MB (7868946 bytes)
Series
Statistics and Computing
Edition
1
Pages
500\515
Orientation
no
Scanned
no
Time added
2011-08-31 04:54:40
Statistics and Computing/Statistics Programs

Description

John Chambers has been the principal designer of the S language since its beginning, and in 1999 received the ACM System Software award for S, the only statistical software to receive this award. He is author or coauthor of the landmark books on S. Now he turns to R, the enormously successful open-source system based on the S language. R's international support and the thousands of packages and other contributions have made it the standard for statistical computing in research and teaching. This book guides the reader through programming with R, beginning with simple interactive use and progressing by gradual stages, starting with simple functions. More advanced programming techniques can be added as needed, allowing users to grow into software contributors, benefiting their careers and the community. R packages provide a powerful mechanism for contributions to be organized and communicated. The techniques covered include such modern programming enhancements as classes and methods, namespaces, and interfaces to spreadsheets or data bases, as well as computations for data visualization, numerical methods, and the use of text data.

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